This applet can also be used to demonstrate the normal approximation to the binomial distribution, since users can see that the distribution begins to look like a normal curve as we increase the ...

How did he do it? The interactive at left illustrates Archimedes' basic approach. It finds an approximation of pi by determining the length of the perimeter of a polygon inscribed within a circle ...

Using the normal approximation to the binomial distribution, PROC FREQ constructs asymptotic confidence limits for the risks and risk differences according to PROC FREQ computes exact confidence ...

This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing ...

Sometimes it is a good idea to estimate a calculation rather than work it out exactly, if you don’t need to know the exact value. In this situation, round the numbers in the question before ...

Beta-Binomial), Bayesian point estimation, credible intervals and hypothesis testing, Bayes factors and model selection. Comparison with Frequentist approaches. Implementation: Asymptotic ...

Sometimes it is a good idea to estimate the value of a calculation rather than work it out exactly. In this situation, round the numbers in the question before performing the calculation.

After a gentle introduction to basic series and some special cases (such as the 'q'-binomial theorem) the authors bring the reader up to the latest results on the general theory and its extensions, ...

Lu and Wenjun Zhu, Dynamic Bayesian Ratemaking : A Markov Chain Approximation Approach ... Gourieroux and Y. Lu, Negative Binomial Autoregressive Process with Stochastic Intensity, 40(2), p.225-247 ...

Beta-Binomial), Bayesian point estimation, credible intervals and hypothesis testing, Bayes factors and model selection. Comparison with Frequentist approaches. Implementation: Asymptotic ...